Procedural urbanism as infrastructure: a systematic historical analysis of rules, data, and governance
Abstract Procedural modelling has evolved from a niche computer-graphics technique into an increasingly important infrastructure within computational urbanism, geodesign, 3D GIS, heritage reconstruction, scenario-based planning, and urban digital-twin research. Yet these computational and planning-oriented literatures still lack a unified account of how this shift has reconfigured the epistemology and governance of urbanism. This paper reconstructs that trajectory and argues that procedural modelling is best understood as a partial and situated mode of urban knowing and governing: it translates selected urban realities into executable rules, data pipelines, and algorithms, while requiring other forms of urban knowledge to remain present through qualitative, participatory, historical, and political inquiry. Using a systematic historical analysis of 60 coded sources from the 1970s to August 2025, the study synthesizes developments across computer graphics, architecture, GIS, planning, and digital-twin research. The findings periodize five eras: formal grammars, procedural cities, the planning turn, GIS integration, and digital-twin/AI convergence. They show how procedural techniques migrated across domains, transforming from representational tools into platforms for simulation, participation, and operational monitoring. The paper contributes a mediation framework linking data–rules–algorithms–morphology–governance and a typology of encoded assumptions concerning control, normativity, scale, variability, and uncertainty. It reframes calibration, data dependency, and interpretability as epistemological and political problems of ground truth, visibility, accountability, and participation. The paper concludes by arguing that procedural urban infrastructures must be made governable through validation, explainability, uncertainty communication, public contestability, and institutional auditability.